Python implementations of the k-modes and k-prototypes clustering algorithms for clustering categorical data.
Uploaded | Sun Mar 30 23:24:18 2025 |
md5 checksum | 7d74ed50a713f35b498c81bfb8b01139 |
arch | x86_64 |
build | py38h06a4308_0 |
depends | joblib >=0.11, numpy >=1.10.4, python >=3.8,<3.9.0a0, scikit-learn >=0.22.0, scipy >=0.13.3 |
license | MIT |
license_family | MIT |
md5 | 7d74ed50a713f35b498c81bfb8b01139 |
name | kmodes |
platform | linux |
sha1 | ee111c3381abd11f8b49283f7a4ceaa2e9458559 |
sha256 | f00d2d92ba52b3634e5822936d3b27cd79b5f6c409f514d412bb4a5a4bb2edfb |
size | 32928 |
subdir | linux-64 |
timestamp | 1686295891472 |
version | 0.12.2 |